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14 November 2025

DEMETRA—A Seismic Noise Survey at the Maccalube di Aragona Mud Volcanoes (Southern Italy): Results and Perspectives

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1
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione Osservatorio Vesuviano Via Diocleziano, 328 - 80124 Naples, Italy
2
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione Osservatorio Etneo Piazza Roma, 2 - 95125 Catania, Italy
3
Legambiente Sicilia, Gestione Riserva Naturale “Maccalube di Aragona”Via Salvatore La Rosa, 53 - 92021 Aragona, Italy
*
Author to whom correspondence should be addressed.
This article belongs to the Special Issue Sensing Technologies for Geophysical Monitoring

Abstract

On 22–23 April 2025, a seismic noise survey was conducted at the Maccalube di Aragona, a mud volcano field located in Sicily (southern Italy), with the aim of characterizing the background signal associated with vent activity and the shallow subsurface structure. The experiment, named DEMETRA (DEnse MaccalubE TRomino Acquisition), was carried out within the framework of the multidisciplinary INGV-PROMUD research project, which aims to identify key indicators of mud volcano activity and potential precursors of paroxysmal events. Ambient seismic noise was recorded at 21 sites using a three-component, 24-bit digital tromograph. Measurements were conducted with a dense spatial sampling scheme covering both vent areas and peripheral zones. Preliminary data analyses included spectral estimates, computation of horizontal-to-vertical spectral ratio (HVSR) curves and evaluation of the polarization patterns. The HVSR curves do not display clear amplification peaks but rather show deamplification at specific sites. The polarization patterns exhibit spatial consistency across the vent areas. In addition, transient signals were identified in the background noise at some sites; based on their spectral and polarization characteristics, these signals are possibly associated with degassing, mud emissions, or bubbling phenomena. The dense spatial coverage of the DEMETRA experiment provides a valuable dataset for investigating subsurface properties and dynamic processes in an active mud volcano environment.

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